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Modern Classics in Entrepreneurship Studies: Building the Future of the Field

The purpose of this book is to identify and analyze modern classics in entrepreneurship research with the goal of highlighting cutting-edge themes in the work of various scholars that are pushing the boundaries of the field, post 2000. As the entrepreneurship field matures, it is important to identify the novel contributions that will help shape the next decades of scholarship, by providing scholars with the concepts, frameworks, and approaches needed to help develop the new theories and practices of entrepreneurship. By focusing on emerging key contributions, this book takes a stance that sets it apart from other similar works by scholars that have focused only on existing themes rather than those that will characterize the relationship between entrepreneurship and new technological advances, growing inequalities, gender, diversity and inclusion, and socio-political shifts in the landscape of entrepreneurial ecosystems, allowing for critical and new conversations on entrepreneurship to take shape. This book will provide discussion on emergent themes and approaches that will continue to build the future of entrepreneurship as an exciting and rigorous academic discipline.

Modern Classification and Data Analysis: Methodology and Applications to Micro- and Macroeconomic Problems (Studies in Classification, Data Analysis, and Knowledge Organization)

This volume presents a selection of peer-reviewed papers that address the latest developments in the methodology and applications of data analysis and classification tools to micro- and macroeconomic problems. The contributions were originally presented at the 30th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2021, held online in Poznań, Poland, September 8–10, 2021. Providing a balance between methodological and empirical studies, and covering a wide range of topics, the book is divided into five parts focusing on methods and applications in finance, economics, social issues and to COVID-19 data. The book is aimed at a wide audience, including researchers at universities and research institutions, PhD students, as well as practitioners, data scientists and employees in public statistical institutions.

The Modern/Colonial/Capitalist World-System in the Twentieth Century: Global Processes, Antisystemic Movements, and the Geopolitics of Knowledge (Studies in the Political Economy of the World-System)

An important building block for further advancing world-system theory, this book considers the theory from the perspectives of global processes and antisystemic movements, feminist theory, and the aftermath of the colonial system. The volume addresses three myths tied to Eurocentric forms of thinking: objectivist and universalist knowledges, the decolonization of the modern world, and developmentalism. All three myths, the authors argue, conceal the continued hierarchical and unequal relations of domination and exploitation between European and Euro-American centers and non-European peripheral regions. In this volume, world-system scholars address these and related aspects of the modern/colonial capitalist world-system.Addressing the myth of universalist knowledge, the volume reminds us that our knowledge is situated in the gender, class, racial, and sexual hierarchies of a specific region in the world-system, while the coloniality of power additionally situates our knowledge. The volume further argues that the postcolonial era retains the hierarchy of colonialism, and the possibility of national development without global structural changes is one of the greatest 20th-century myths. Taking these perspectives into consideration, the contributors examine and help to refine classic world-system theory.

Modern Computational Finance: AAD and Parallel Simulations

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware.AAD recently became a centerpiece of modern financial systems and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters and PhD programs in finance.Danske Bank's wide scale implementation of AAD in its production and regulatory systems won the In-House System of the Year 2015 Risk award. The Modern Computational Finance books, written by three of the very people who designed Danske Bank's systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software.This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that gently lead readers from the theoretical foundations to the most delicate areas of an efficient implementation, such as memory management, parallel implementation and acceleration with expression templates.The book comes with professional source code in C++, including an efficient, up to date implementation of AAD and a generic parallel simulation library. Modern C++, high performance parallel programming and interfacing C++ with Excel are also covered. The book builds the code step-by-step, while the code illustrates the concepts and notions developed in the book.

Modern Computational Finance: AAD and Parallel Simulations

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware.AAD recently became a centerpiece of modern financial systems and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters and PhD programs in finance.Danske Bank's wide scale implementation of AAD in its production and regulatory systems won the In-House System of the Year 2015 Risk award. The Modern Computational Finance books, written by three of the very people who designed Danske Bank's systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software.This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that gently lead readers from the theoretical foundations to the most delicate areas of an efficient implementation, such as memory management, parallel implementation and acceleration with expression templates.The book comes with professional source code in C++, including an efficient, up to date implementation of AAD and a generic parallel simulation library. Modern C++, high performance parallel programming and interfacing C++ with Excel are also covered. The book builds the code step-by-step, while the code illustrates the concepts and notions developed in the book.

Modern Computational Finance: Scripting for Derivatives and xVA

An incisive and essential guide to building a complete system for derivative scripting In Volume 2 of Modern Computational Finance Scripting for Derivatives and xVA, quantitative finance experts and practitioners Drs. Antoine Savine and Jesper Andreasen deliver an indispensable and insightful roadmap to the interrogation, aggregation, and manipulation of cash-flows in a variety of ways. The book demonstrates how to facilitate portfolio-wide risk assessment and regulatory calculations (like xVA). Complete with a professional scripting library written in modern C++, this stand-alone volume walks readers through the construction of a comprehensive risk and valuation tool. This essential book also offers: Effective strategies for improving scripting libraries, from basic examples—like support for dates and vectors—to advanced improvements, including American Monte Carlo techniques Exploration of the concepts of fuzzy logic and risk sensitivities, including support for smoothing and condition domains Discussion of the application of scripting to xVA, complete with a full treatment of branching Perfect for quantitative analysts, risk professionals, system developers, derivatives traders, and financial analysts, Modern Computational Finance Scripting for Derivatives and xVA: Volume 2 is also a must-read resource for students and teachers in master’s and PhD finance programs.

Modern Computational Finance: Scripting for Derivatives and xVA

An incisive and essential guide to building a complete system for derivative scripting In Volume 2 of Modern Computational Finance Scripting for Derivatives and xVA, quantitative finance experts and practitioners Drs. Antoine Savine and Jesper Andreasen deliver an indispensable and insightful roadmap to the interrogation, aggregation, and manipulation of cash-flows in a variety of ways. The book demonstrates how to facilitate portfolio-wide risk assessment and regulatory calculations (like xVA). Complete with a professional scripting library written in modern C++, this stand-alone volume walks readers through the construction of a comprehensive risk and valuation tool. This essential book also offers: Effective strategies for improving scripting libraries, from basic examples—like support for dates and vectors—to advanced improvements, including American Monte Carlo techniques Exploration of the concepts of fuzzy logic and risk sensitivities, including support for smoothing and condition domains Discussion of the application of scripting to xVA, complete with a full treatment of branching Perfect for quantitative analysts, risk professionals, system developers, derivatives traders, and financial analysts, Modern Computational Finance Scripting for Derivatives and xVA: Volume 2 is also a must-read resource for students and teachers in master’s and PhD finance programs.

Modern Concepts of the Theory of the Firm: Managing Enterprises of the New Economy

The authors analyse the New Economy from a scientific point of view. The success and the failure of enterprises of the new economy form a challenge to the modern business management and to the theory of the firm. This conference transcript answers the question in which way well-established concepts of the theory of the firm should be modified or new approaches should be created, in order to run enterprises of the new economy successfully. The discussion includes various fields of the theory of the firm and is therefore divided into the six essential disciplines of economic research, which are Production and Procurement, Finance, Marketing, Accounting, Human Resource Management and Economic Organization and Corporate Governance. The international orientation of the book addresses the world-wide scientific community.

The Modern Construction Firm

'A refreshing and useful addition to the folklore of management. All in all this is a worthwhile insight into the management views and structure of some of our leading construction companies.' - J.J. Farrow, Chartered Builder This volume describes and analyses the behaviour of large UK construction firms in the determination and implementation of their strategy. It covers, in addition to the selection of objectives and the methods for their achievement, policies on growth and diversification, finance, marketing and bidding, international operations, management and labour and subcontracting. Throughout the book the relationship is examined between the theory outlined in the companion volume and the actual behaviour of firms. The final chapter concludes with a discussion of the means to bridge the gaps which are found to exist between theory and practice.

Modern Corporate Finance, Investments and Taxation

This monograph is devoted to the modern theory of capital cost and capital structure and its application to the real economy. In particular, it presents a possible explanation to the causes of global financial crisis. The authors of the book modify the theory of Nobel Prize winners Modigliani and Miller to describe an alternative theory of capital cost and capital structure that can be applied to corporations with arbitrary lifetime and investment projects with arbitrary duration. The authors illustrate their theory with examples from corporate practice and develop investment models that can be applied by companies in their financial operations.

Modern Corporate Finance, Investments, Taxation and Ratings

This monograph is devoted to a modern theory of capital cost and capital structure created by this book’s authors, called the Brusov–Filatova–Orekhova (BFO) theory, and its application to the real economy. BFO theory promises to replace the traditional theory of capital cost and capital structure by Nobel laureates Modigliani and Miller. This new theory in particular, presents a possible explanation to the causes of the recent global financial crisis. The authors of the book describe the general theory of capital cost and capital structure that can be applied to corporations of arbitrary age (or with arbitrary lifetime) and investment projects with arbitrary duration. The authors illustrate their theory with examples from corporate practice and develop investment models that can be applied by companies in their financial operations.This updated second edition includes new chapters devoted to the application of the BFO theory in ratings, banking and other areas. The authors also provide a new approach to rating methodology highlighting the need for including financial flow discounting, the incorporation of rating parameters (in particular, financial ratios) into the modern theory of capital structure - BFO theory. This book aims to change our understanding of corporate finance, investments, taxation and rating procedures. The authors emphasize that the most used principles of financial management should be changed in accordance to BFO theory.

The Modern Corporation and Private Property

This monumental work on the corporation is one of those enduring classics that many cite but few have read. Graced with a new introduction by Weidenbaum and Jensen, this new edition makes this classic available to a new generation. Written in the early 1930s, The Modern Corporation and Private Property remains the fundamental introduction to the internal organization of the corporation in modern society. Combining the analytical skills of an attorney with those of an economist, Berle and Means raise the central questions, even when their answers have been superseded by changing circumstances.The book's most enduring theme is the separation of ownership from control of the modern corporation and its consequences. Berle and Means display keen awareness of the divergent interests of directors and managers, and of each from owners of the firm. Among their predictions are the characteristic increase in size of the modem corporation and concentration of the economy. The authors view stock exchanges and stock markets as essential by-products of the rise of the modem corporation, and explore how these function. They address the difficult questions of whether corporations operate for the benefit of owners or managers, and explore what motivates managers to make effective use of corporate assets. Finally, they examine the role of the corporation as the prevailing form of organizing the production and distribution of goods and services.In their new introduction, Weidenbaum and Jensen, co-directors of the Center for the Study of American Business at Washington University, critically assess the impact of developments not fully anticipated by Berle and Means, such as the rise of the service sector, and the significant role played by institutional investors in the owner/manager equation. They note the authors' prescient observations, including the complex role of and motivating influences on professional managers, and the significance of inside informatio

The Modern Corporation and Private Property (Business Enterprises Reprint Ser.)

This monumental work on the corporation is one of those enduring classics that many cite but few have read. Graced with a new introduction by Weidenbaum and Jensen, this new edition makes this classic available to a new generation. Written in the early 1930s, The Modern Corporation and Private Property remains the fundamental introduction to the internal organization of the corporation in modern society. Combining the analytical skills of an attorney with those of an economist, Berle and Means raise the central questions, even when their answers have been superseded by changing circumstances.The book's most enduring theme is the separation of ownership from control of the modern corporation and its consequences. Berle and Means display keen awareness of the divergent interests of directors and managers, and of each from owners of the firm. Among their predictions are the characteristic increase in size of the modem corporation and concentration of the economy. The authors view stock exchanges and stock markets as essential by-products of the rise of the modem corporation, and explore how these function. They address the difficult questions of whether corporations operate for the benefit of owners or managers, and explore what motivates managers to make effective use of corporate assets. Finally, they examine the role of the corporation as the prevailing form of organizing the production and distribution of goods and services.In their new introduction, Weidenbaum and Jensen, co-directors of the Center for the Study of American Business at Washington University, critically assess the impact of developments not fully anticipated by Berle and Means, such as the rise of the service sector, and the significant role played by institutional investors in the owner/manager equation. They note the authors' prescient observations, including the complex role of and motivating influences on professional managers, and the significance of inside informatio

Modern Corporations and Strategies at Work

Strategies are integral to growth, expansion and sustainability of modern corporations. The agile strategies are central to overcome challenges of the turbulent times accelerated by risks, pandemics, wars, political instabilities and environmental disasters. This book on ‘Modern Corporations and Strategies at Work’ focuses on different strategies followed by corporations. This book makes critical reading of corporate strategies and evaluates them. This book offers insights into the way corporations develop and implement strategies to face different challenges. This book explores wider world of corporate strategies and their limitations. The future of world economy and international business is shaped by large modern corporations and their rapidly changing business, management and marketing strategies. This book explores the way modern nation states are standing behind the corporations to ensure that their strategies are successful in a world of complex challenges. This book further examines how collaborations between the state and modern corporations are part of the corporate strategy at work today. Further how modern strategies are integral to the start, growth, expansion and sustainability of modern corporations. This book explores operational agilities and organisational abilities of modern corporations to engage with diverse challenges and overcome the crisis. The volatile business environment is creating conditions of instabilities for the market to function effectively and efficiently. Such conditions are weakening all agents and structures operating within international business and world economy. This book argues that there is an urgent need for a profound reshaping of the corporate strategies to deal with a post pandemic society. It is perhaps as far reaching as that the remaking of corporate strategies are in the crossroads today due to its intrinsic profit motives. The remaking of modern corporate strategy comes in the wake of pestilence of a global health crisis; its full impacts are yet to be felt, evaluated and understood. A comprehensive shift in corporate strategy from formulation, implementation and evaluation to remaking is at the heart of this transformations in the working of the corporations and their fundamental ideological apparatus.

Modern Cost-Benefit Methods: An Introduction to Financial, Economic and Social Appraisal of Development Projects

A Modern Credit Rating Agency: The Story of Moody’s (Routledge Studies in Corporate Governance)

This book aims to present a picture of one of the world’s leading credit rating agencies. Credited as being the first credit rating agency, Moody’s stands as the epitome of the rating sector and all that it effects. However, outside of internal and non-public histories compiled within the rating agency itself, the story of Moody’s has never been told, until now. However, this is not a historical book. Rather, this book paints a picture of Moody’s on a wider canvas that introduces the concept of rating to you, taking into account the origins of the sector, the competitive battles that formed the modern-day oligopoly, and the characters that have each taken their turn on sculpting the industry that, today, is critical to the modern economy.The book is a story of personable people who provided the market with what it needed, but it is more than that. It is a story of conflict, impact, strategy, and most of all the relationship between big business and modern society. Standing as the gatekeeper to the capital markets that form the core of modern society, Moody’s represents the very best of what the marketplace can produce, but also the very worst. This story takes in economic crises in the antebellum US, the Panics of the early 1900s, the Wall Street Crash and the Great Depression and, of course, the Global Financial Crisis. It does this because, at the heart of each one was a member of the rating industry or the reporting industry that preceded it. Associated with almost any financial scandal you may care to remember the credit rating agencies, in their often-uncomfortable role as gatekeepers, have their fingerprints on most financial scandals and calamities. This book tells the story of the industry’s founding member.

A Modern Credit Rating Agency: The Story of Moody’s (Routledge Studies in Corporate Governance)

This book aims to present a picture of one of the world’s leading credit rating agencies. Credited as being the first credit rating agency, Moody’s stands as the epitome of the rating sector and all that it effects. However, outside of internal and non-public histories compiled within the rating agency itself, the story of Moody’s has never been told, until now. However, this is not a historical book. Rather, this book paints a picture of Moody’s on a wider canvas that introduces the concept of rating to you, taking into account the origins of the sector, the competitive battles that formed the modern-day oligopoly, and the characters that have each taken their turn on sculpting the industry that, today, is critical to the modern economy.The book is a story of personable people who provided the market with what it needed, but it is more than that. It is a story of conflict, impact, strategy, and most of all the relationship between big business and modern society. Standing as the gatekeeper to the capital markets that form the core of modern society, Moody’s represents the very best of what the marketplace can produce, but also the very worst. This story takes in economic crises in the antebellum US, the Panics of the early 1900s, the Wall Street Crash and the Great Depression and, of course, the Global Financial Crisis. It does this because, at the heart of each one was a member of the rating industry or the reporting industry that preceded it. Associated with almost any financial scandal you may care to remember the credit rating agencies, in their often-uncomfortable role as gatekeepers, have their fingerprints on most financial scandals and calamities. This book tells the story of the industry’s founding member.

Modern Credit Risk Management: Theory and Practice

This book is a practical guide to the latest risk management tools and techniques applied in the market to assess and manage credit risks at bank, sovereign, corporate and structured finance level. It strongly advocates the importance of sound credit risk management and how this can be achieved with prudent origination, credit risk policies, approval process, setting of meaningful limits and underwriting criteria.The book discusses the various quantitative techniques used to assess and manage credit risk, including methods to estimate default probabilities, credit value at risk approaches and credit exposure analysis. Basel I, II and III are covered, as are the true meaning of credit ratings, how these are assigned, their limitations, the drivers of downgrades and upgrades, and how credit ratings should be used in practise is explained.Modern Credit Risk Management not only discusses credit risk from a quantitative angle but further explains how important the qualitative and legal assessment is. Credit risk transfer and mitigation techniques and tools are explained, as are netting, ISDA master agreements, centralised counterparty clearing, margin collateral, overcollateralization, covenants and events of default. Credit derivatives are also explained, as are Total Return Swaps (TRS), Credit Linked Notes (CLN) and Credit Default Swaps (CDS). Furthermore, the author discusses what we have learned from the financial crisis of 2007 and sovereign crisis of 2010 and how credit risk management has evolved. Finally the book examines the new regulatory environment, looking beyond Basel to the European Union (EU) Capital Requirements Regulation and Directive (CRR-CRD) IV, the Dodd–Frank Wall Street Reform and Consumer Protection Act. This book is a fully up to date resource for credit risk practitioners and academics everywhere, outlining the latest best practices and providing both quantitative and qualitative insights. It will prove a must-have reference for the field.

Modern Cryptography Primer: Theoretical Foundations and Practical Applications

Cryptography has experienced rapid development, with major advances recently in both secret and public key ciphers, cryptographic hash functions, cryptographic algorithms and multiparty protocols, including their software engineering correctness verification, and various methods of cryptanalysis. This textbook introduces the reader to these areas, offering an understanding of the essential, most important, and most interesting ideas, based on the authors' teaching and research experience.After introducing the basic mathematical and computational complexity concepts, and some historical context, including the story of Enigma, the authors explain symmetric and asymmetric cryptography, electronic signatures and hash functions, PGP systems, public key infrastructures, cryptographic protocols, and applications in network security. In each case the text presents the key technologies, algorithms, and protocols, along with methods of design and analysis, while the content is characterized by a visual style and all algorithms are presented in readable pseudocode or using simple graphics and diagrams.The book is suitable for undergraduate and graduate courses in computer science and engineering, particularly in the area of networking, and it is also a suitable reference text for self-study by practitioners and researchers. The authors assume only basic elementary mathematical experience, the text covers the foundational mathematics and computational complexity theory.

Modern Cryptography Volume 1: A Classical Introduction to Informational and Mathematical Principle (Financial Mathematics and Fintech)

This open access book systematically explores the statistical characteristics of cryptographic systems, the computational complexity theory of cryptographic algorithms and the mathematical principles behind various encryption and decryption algorithms. The theory stems from technology. Based on Shannon's information theory, this book systematically introduces the information theory, statistical characteristics and computational complexity theory of public key cryptography, focusing on the three main algorithms of public key cryptography, RSA, discrete logarithm and elliptic curve cryptosystem. It aims to indicate what it is and why it is. It systematically simplifies and combs the theory and technology of lattice cryptography, which is the greatest feature of this book.It requires a good knowledge in algebra, number theory and probability statistics for readers to read this book. The senior students majoring in mathematics, compulsory for cryptography and science and engineering postgraduates will find this book helpful. It can also be used as the main reference book for researchers in cryptography and cryptographic engineering areas.

Modern Cryptography Volume 2: A Classical Introduction to Informational and Mathematical Principle (Financial Mathematics and Fintech)

This open access book covers the most cutting-edge and hot research topics and fields of post-quantum cryptography. The main purpose of this book is to focus on the computational complexity theory of lattice ciphers, especially the reduction principle of Ajtai, in order to fill the gap that post-quantum ciphers focus on the implementation of encryption and decryption algorithms, but the theoretical proof is insufficient. In Chapter 3, Chapter 4 and Chapter 6, author introduces the theory and technology of LWE distribution, LWE cipher and homomorphic encryption in detail. When using random analysis tools, there is a problem of "ambiguity" in both definition and algorithm. The greatest feature of this book is to use probability distribution to carry out rigorous mathematical definition and mathematical demonstration for various unclear or imprecise expressions, so as to make it a rigorous theoretical system for classroom teaching and dissemination. Chapters 5 and 7 further expand and improve the theory of cyclic lattice, ideal lattice and generalized NTRU cryptography.This book is used as a professional book for graduate students majoring in mathematics and cryptography, as well as a reference book for scientific and technological personnel engaged in cryptography research.

Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS servicesKey FeaturesLearn to build modern data platforms on AWS using data lakes and purpose-built data servicesUncover methods of applying security and governance across your data platform built on AWSFind out how to operationalize and optimize your data platform on AWSPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learnFamiliarize yourself with the building blocks of modern data architecture on AWSDiscover how to create an end-to-end data platform on AWSDesign data architectures for your own use cases using AWS servicesIngest data from disparate sources into target data stores on AWSBuild data pipelines, data sharing mechanisms, and data consumption patterns using AWS servicesFind out how to implement data governance using AWS servicesWho this book is forThis book is for data architects, data engineers, and professionals involved in building data platforms. The use case–driven approach taken in this book will help you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. Technical leaders and decision makers will also benefit from this book by gaining a perspective of what the overall data architecture looks like for their organization and how each component of the platform helps with their business needs.

Modern Data Architecture on AWS: A Practical Guide for Building Next-Gen Data Platforms on AWS

Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS servicesKey FeaturesLearn to build modern data platforms on AWS using data lakes and purpose-built data servicesUncover methods of applying security and governance across your data platform built on AWSFind out how to operationalize and optimize your data platform on AWSPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learnFamiliarize yourself with the building blocks of modern data architecture on AWSDiscover how to create an end-to-end data platform on AWSDesign data architectures for your own use cases using AWS servicesIngest data from disparate sources into target data stores on AWSBuild data pipelines, data sharing mechanisms, and data consumption patterns using AWS servicesFind out how to implement data governance using AWS servicesWho this book is forThis book is for data architects, data engineers, and professionals involved in building data platforms. The use case–driven approach taken in this book will help you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. Technical leaders and decision makers will also benefit from this book by gaining a perspective of what the overall data architecture looks like for their organization and how each component of the platform helps with their business needs.

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions. Contemporary data science requires a tight integration of knowledge from statistics, computer science, mathematics, and a domain of application. This book will help readers with some background in statistics and modest prior experience with coding develop and practice the appropriate skills to tackle complex data science projects. The book features a number of exercises and has a flexible organization conducive to teaching a variety of semester courses.

Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

From a review of the first edition: "Modern Data Science with R… is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician).Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling questions.The second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. New functionality from packages like sf, purrr, tidymodels, and tidytext is now integrated into the text. All chapters have been revised, and several have been split, re-organized, or re-imagined to meet the shifting landscape of best practice.